Machine learning, Artificial Intelligence, & Algorithmic Thinking

Our faculty develop machine learning/artificial intelligence algorithms, engage in Bayesian modeling/inference, and build unsupervised learning algorithms – teaching computers to do such things as understand scientific text, play music, or learn the nuances of personal relationships.

Machine learning, Artificial Intelligence, and Algorithmic Thinking Faculty

Steven Bethard

Steven Bethard

Associate Professor

Advisor, M.S. Information

  • Natural language processing
  • Machine learning
  • Information extraction models
Win Burleson

Winslow Burleson

Assistant Director and Director of Research

Professor

  • Human Computer Interaction
  • Learning Sciences
  • Health Science Design
Peter Jansen

Peter Jansen

Assistant Professor

  • Natural language processing
  • Artificial intelligence
  • Cognitive science
Harvill 437C
Clayton Morrison

Clayton Morrison

Associate Professor

  • Machine learning
  • Probabilistic modeling
  • Causal inference